Triple

T5628812
Position Surface form Disambiguated ID Type / Status
Subject MPIDS E147783 entity
Predicate hasAbbreviation P43 FINISHED
Object MPIDS E147783 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MPIDS | Statement: [MPIDS, hasAbbreviation, MPIDS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPIDS
Context triple: [MPIDS, hasAbbreviation, MPIDS]
  • A. MPIDS chosen
    MPIDS is a Max Planck Institute in Germany focused on fundamental research in nonlinear dynamics, complex systems, and self-organization in physics and related fields.
  • B. MCIP
    MCIP is the stock ticker symbol for MCI Inc., a former major American telecommunications company known for providing long-distance and internet services.
  • C. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • D. MIB-I
    MIB-I is the original version of the Management Information Base used with the SNMP protocol to define standard network management data objects.
  • E. LIDS
    LIDS is a research laboratory at MIT focused on advancing the theory and application of information and decision systems, including areas like control, communications, and machine learning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0223b1e54819099fe5fc84ed17a88 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02882babc819093c987c745615865 completed March 22, 2026, 5:36 p.m.
Created at: March 22, 2026, 3:40 p.m.